Quantifying the Impact of Chronic Ischemic Injury on Clinical Outcomes in Acute Stroke With Machine Learning

Acute stroke is often superimposed on chronic damage from previous cerebrovascular events. This background will inevitably modulate the impact of acute injury on clinical outcomes to an extent that will depend on the precise anatomical pattern of damage. Previous attempts to quantify such modulation...

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Detalles Bibliográficos
Autores principales: Mah, Yee-Haur, Nachev, Parashkev, MacKinnon, Andrew D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6992664/
https://www.ncbi.nlm.nih.gov/pubmed/32038472
http://dx.doi.org/10.3389/fneur.2020.00015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6992664/
https://www.ncbi.nlm.nih.gov/pubmed/32038472
http://dx.doi.org/10.3389/fneur.2020.00015

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